...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Prehospital emergency care >Use of Radio Frequency Identification to Establish Emergency Medical Service Offload Times
【24h】

Use of Radio Frequency Identification to Establish Emergency Medical Service Offload Times

机译：使用射频识别来建立紧急医疗服务卸载时间

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Emergency medical services (EMS) crews often wait for emergency department (ED) beds to become available to offload their patients. Presently there is no national benchmark for EMS turnaround or offload times, or method for objectively and reliably measuring this. This study introduces a novel method for monitoring offload times and identifying variance. We performed a descriptive, observational study in a large urban community teaching hospital. We affixed radio frequency identification (RFID) tags (Confidex Survivor (TM), Confidex, Inc., Glen Ellyn, IL) to 65 cots from 19 different EMS agencies and placed a reader (CaptureTech Weatherproof RFID Interpreter, Barcoding Inc., Baltimore, Maryland) in the ED ambulance entrance, allowing for passive recording of traffic. We recorded data for 16 weeks starting December 2009. Offload times were calculated for each visit and analyzed using STATA to show variations in individual and cumulative offload times based on the time of day and day of the week. Results are presented as median times, confidence intervals (CIs), and interquartile ranges (IQRs). We collected data on 2,512 visits. Five hundred and ninety-two were excluded because of incomplete data, leaving 1,920 (76%) complete visits. Average offload time was 13.2 minutes. Median time was 10.7 minutes (IQR 8.1 minutes to 15.4 minutes). A total of 43% of the patients (833/1,920, 95% CI 0.41-0.46) were offloaded in less than 10 minutes, while 27% (513/1,920, 95% CI 0.25-0.29) took greater than 15 minutes. Median times were longest on Mondays (11.5 minutes) and shortest on Wednesdays (10.3 minutes). Longest daily median offload time occurred between 1600 and 1700 (13.5 minutes), whereas the shortest median time was between 0800 and 0900 (9.3 minutes). Cumulative time spent waiting beyond 15 minutes totaled 72.5hours over the study period. RFID monitoring is a simple and effective means of monitoring EMS traffic and wait times. At our institution, most squads are able to offload their patients within 15 minutes, with many in less than 10 minutes. Variations in wait times are seen and are a topic for future study.
机译：紧急医疗服务（EMS）船员经常等急诊部（ED）床，以便可用于卸载其患者。目前，没有国家EMS周转或卸载时间的国家基准，或客观且可靠地测量这一点。本研究介绍了一种用于监控卸载时间和识别方差的新方法。我们在大型城市社区教学医院进行了描述性的观察性研究。我们将射频识别（RFID）标签（Confidex Survivor（TM），Convidex，Inc.，Glen Ellyn，IL）从19个不同的EMS机构提供65个婴儿床，并将读者（CaptureTech Deatherve RFID翻译，Barcoding Inc.，Baltimore）放在65张CoTs中，马里兰州）在Ed救护车入口处，允许被动录制流量。我们在2009年12月开始的16周录制了数据。为每次访问计算卸载时间，并使用Stata分析，以显示基于一周中的一天和日期的个人和累积卸载时间的变化。结果作为中位数，置信区间（CIS）和界定范围（IQRS）呈现。我们收集了2,512次访问的数据。由于数据不完整，50092人被排除在外，留下1,920（76％）的综述。平均卸载时间为13.2分钟。中位时间是10.7分钟（IQR 8.1分钟到15.4分钟）。在不到10分钟内卸载了43％的患者（833 / 1,920,95％CI 0.41-0.46），而27％（513 / 1,920,95％CI 0.25-0.29）花费大于15分钟。周一（11.5分钟）和周三最短的中位数最长（10.3分钟）。每日最长的日间中位卸载时间在1600到1700（13.5分钟）之间发生，而最短的中位数在0800和0900之间（9.3分钟）。在研究期间等待超过15分钟的累计时间为72.5小时。 RFID监控是监控EMS流量和等待时间的简单有效的手段。在我们的机构，大多数小队能够在15分钟内卸下患者，许多人不到10分钟。等待时间的变化是看来，是未来研究的主题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号